We study the dynamics of the adaptation of cardiac energy metabolism to metabolic demand. The goal is to understand the regulation of cardiac energy metabolism and its effects on heart function in health and disease. To this end the time course of oxygen uptake in the heart is derived from measurements in the coronary venous effluent, usually during step changes in demand, and deconvoluted with the mitochondrial-to-venous transport function resulting in the time course of the response of mitochondrial oxygen consumption to changes in ATP hydrolysis. Lactate output and content of high-energy phosphates (using 31P-NMR spectroscopy) are also experimentally determined in a time-resolved way. We found that the """"""""time constant"""""""" of mitochondrial oxygen consumption after steps in metabolic demand was about 8 s at 37 degrees Celsius. The time constant increased by 110% per 10 degrees Celsius decrease in temperature, and was 2-3 times slower when intracellular pH was lowered by 0.6. Mitochondrial capacity was a strong determinant of the time constant at low heart rates, but not at high heart rates. The response was faster when the intramitochondrial dehydrogenase activity was increased. The time constant of the phosphate metabolites determined with NMR spectroscopy was shorter than of oxygen consumption. This means that there is a gap in the balance of ATP synthesis and hydrolysis which we explain by a brief burst of glycolytic ATP production. However, lactate must stay intracellularly since we do not find a peak in lactate efflux after a step in heart rate. We model cardiac energy metabolism with a linearized non- equilibrium thermodynamic model in which mitochondria are regulated via the cytosolic phosphorylation potential, and also with enzyme-kinetic models. These simple models enabled us to explain the time constant of oxygen consumption, the effect of temperature and the effect of cytosolic acidification.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001243-15
Application #
5223047
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
15
Fiscal Year
1996
Total Cost
Indirect Cost
Bassingthwaighte, James B; Butterworth, Erik; Jardine, Bartholomew et al. (2012) Compartmental modeling in the analysis of biological systems. Methods Mol Biol 929:391-438
Dash, Ranjan K; Bassingthwaighte, James B (2010) Erratum to: Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 38:1683-701
Bassingthwaighte, James B; Raymond, Gary M; Butterworth, Erik et al. (2010) Multiscale modeling of metabolism, flows, and exchanges in heterogeneous organs. Ann N Y Acad Sci 1188:111-20
Dash, Ranjan K; Bassingthwaighte, James B (2006) Simultaneous blood-tissue exchange of oxygen, carbon dioxide, bicarbonate, and hydrogen ion. Ann Biomed Eng 34:1129-48
Dash, Ranjan K; Bassingthwaighte, James B (2004) Blood HbO2 and HbCO2 dissociation curves at varied O2, CO2, pH, 2,3-DPG and temperature levels. Ann Biomed Eng 32:1676-93
Kellen, Michael R; Bassingthwaighte, James B (2003) Transient transcapillary exchange of water driven by osmotic forces in the heart. Am J Physiol Heart Circ Physiol 285:H1317-31
Kellen, Michael R; Bassingthwaighte, James B (2003) An integrative model of coupled water and solute exchange in the heart. Am J Physiol Heart Circ Physiol 285:H1303-16
Wang, C Y; Bassingthwaighte, J B (2001) Capillary supply regions. Math Biosci 173:103-14
Swanson, K R; True, L D; Lin, D W et al. (2001) A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth: an explanation for a medical anomaly. Am J Pathol 158:2195-9
Swanson, K R; Alvord Jr, E C; Murray, J D (2000) A quantitative model for differential motility of gliomas in grey and white matter. Cell Prolif 33:317-29

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